A fundamental aspect of many evolutionary approaches to synthesis of complex systems is the need to compose atomic elements into useful higher-level building blocks. However, the ability of genetic algorithms to promote useful building blocks is based critically on genetic linkage – the assumption that functionally related alleles are also arranged compactly on the genome. In many practical pro...

The parallel execution of several populations in Evolutionary Algorithms has usually given good results. Nevertheless, researchers have to date drawn conflicting conclusions when using some of the Parallel Genetic Programming models. One aspect of the conflict is population size, since published GP works do not agree about whether to use large or small populations. This paper presents an experi...

The uncertain capacitated arc routing problem is an important optimization with many real-world applications. Genetic programming considered a promising hyper-heuristic technique to automatically evolve policies that can make effective real-time decisions in environment. Most existing research on genetic for the only focused test performance aspect. As result, evolved by are usually too large a...

Originating from cells of the diffuse endocrine system the endocrine tumours of the gut and the pancreatic tract are rare entities characterized by a common phenotypic aspect and producing several bioactive substances including growth factors. Two major categories are identified: well-differentiated and poorly differentiated tumours. The clinical behaviour varies ranging from benign to low grad...

-Intrusion Detection System is used to detect the unwanted activities over the network and to design IDS soft computing techniques are used. This paper describes the role of Artificial Neural Network, Fuzzy Logic and Genetic Algorithm in Intrusion Detection System. The artificial neural network learning algorithms, data retrieval using fuzzy logic under uncertainty and power of Genetic algorith...

KGoldrunner is a puzzle-oriented platform game with dynamic elements. This paper describes Goldspinner, an automatic level generation system for KGoldrunner. Goldspinner has two parts: a genetic algorithm that generates candidate levels, and simulations that use an AI agent to attempt to solve the level from the player’s perspective. Our genetic algorithm determines how “good” a candidate level...

Understanding of Genetic factors and familial breast cancer introduced new treatment pathways for risk reduction among patients. is entirely a different subset definately it needs patient oriented planning. However educational background, awareness knowledge patients, availability genetic testing busy tertiary care hospital settings in LMIC are the challenges optimal management cancers. Current...

Flexible demand management for residential load scheduling, which considers constraints, such as operating time window and order between them, is a key aspect in response. This paper aims to address constraints imposed on the operation schedule of appliances while also participating response events. An innovative crossover method genetic algorithms proposed, implemented, validated. The proposed...

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This paper describes the aspect extraction system that was presented at SentiRuEval-2015: aspect-based sentiment analysis of users’ reviews in Russian. The proposed system uses a conditional random field algorithm for extracting aspects mentioned in the text. We used a set of morphological and syntactic features for machine learning and demonstrated that using lemmas as a feature can improve as...